Abstract
This paper proposes a framework for a man-computer cooperative information retrieval system, supplying users of online discussion systems (or group decision support systems) with immediate information from the Internet. This system can sense the discussion topic and sub-topics actively, and sends the sub-topics as search terms to a WWW search engine. A filter and feedback module checks the quality of searching results and interacts with the search engine if needed. The filtered items from the filter and feedback module are sent to online discussion users. At last an information recommendation module records the visited history of all items, and then works out the most favorite ones to recommend them to each expert selectively. Some primary experimental results show that this framework is feasible.
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